{ "data": { "a": { "slug": "sqwish-kettei", "name": "kettei", "vendor": "Sqwish Labs", "vendorUrl": "https://sqwish.ai", "kind": "model", "category": "decision-models", "summary": "kettei is Sqwish Labs' family of decision models, released on 14 October 2026. Its OneHot API returns a probability for each allowed answer to yes or no, choice and rating questions about text or images, and fine-tunes the smaller sizes.", "url": "https://www.anchorterminal.com/tools/sqwish-kettei", "markdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json", "repo": "https://github.com/sqwishai/onehot-agent", "license": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026", "transports": [ "http" ], "remoteUrl": "https://api.sqwish.ai/v1/decide", "packages": [ { "registry": "pypi", "name": "sqwishai" }, { "registry": "npm", "name": "sqwishai" } ], "auth": "api-key", "authNotes": "A bearer key (`onehot_sk_...`) created in the console at console.sqwish.ai and shown once. Each key has full, inference or read-only scope, and an inference key can carry a monthly spend cap. No key can create keys, buy credit or change the account. `/v1/lint`, `/v1/recipes`, `/v1/systemone/translate` and `/healthz` need no key.", "pricing": "usage", "pricingNotes": "Prepaid credit bought in the console, with no contract. Per million input tokens, kettei fat costs $0.06, chub $0.04 and core $0.02, and fine-tuned chub and core cost twice their base rate. Output isn't billed. Training costs $0.80 (chub) or $0.40 (core) per million training tokens, at least $2.50 a job, charged only if it succeeds. Keep warm is $0.10 an hour. Admission gives $5.00 of credit for 30 days, and new accounts may start on a waitlist (https://docs.sqwish.ai/guides/pricing).", "priceSummary": "$0.50 / tx", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, llms.txt, the OpenAPI document or the pricing page (checked 2026-10-17). Credit is bought through Stripe in the console.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 1224, "pypiWeekly": null, "asOf": "2026-10-17" }, "docsUrl": "https://docs.sqwish.ai/introduction", "llmsTxt": "https://docs.sqwish.ai/llms.txt", "openapi": "https://api.sqwish.ai/openapi.json", "capabilities": [ "inference.decision", "finetune.sft" ], "tags": [ "hosted", "model", "closed-source", "multimodal", "openapi", "llms-txt", "mcp", "python", "typescript", "usage-priced", "prepaid", "waitlist" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 58.3, "grade": "C", "agentReady": false, "rank": 640, "ranked": true, "rankOf": 1133, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 89, "maintenance": 57, "payments": 35, "reliability": 30, "schema": 87, "security": 68, "transparency": 51 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": -2, "negativeNotes": [ "2026-10-14. The launch post says 'We're open-sourcing kettei core (3.7B) and kettei dot (900M) ... so you can run them yourself', and the OneHot page says 'core and dot are open weights you can run yourself' (https://sqwish.ai/blog/your-ai-agent-is-writing-essays-to-tick-boxes, https://sqwish.ai/onehot). On 17 October 2026 the verified Hugging Face organisation Sqwish (Sqwish Labs) listed 0 public models, no model named kettei was found on Hugging Face, and the docs name no download and no kettei-dot model (https://huggingface.co/api/organizations/sqwish/overview, checked 2026-10-17). A claim of available open weights not borne out three days after launch, -2." ], "verdict": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.", "bestFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.", "strengths": [ "Binary, single and ordinal decisions, up to 128 a request, each with a probability for every allowed answer and an optional abstain or cost policy", "Per-token prices published without a login, from $0.02 per million input tokens for kettei core, with output unbilled", "OpenAPI 3.1 contract of 76 operations, llms.txt on two hosts, Markdown twins and error tables that say what is retried and what is billed", "Idempotency keys on every decision, with a successful answer replayed free for 24 hours", "Keys scoped to full, inference or read access, with optional monthly spend caps, and no key can change the account" ], "weaknesses": [ "Launched on 14 October 2026, with no status page, no changelog and no SLA", "Rate limits depend on a tier read from the account, and the docs publish no numbers", "Terms, privacy policy and subprocessor list sit behind a Cloudflare bot check and weren't read", "The launch post and OneHot page describe kettei core and dot as open weights, and Sqwish's Hugging Face organisation listed no public models on 17 October", "No security.txt, bug bounty or certification found, and new accounts may wait on a waitlist" ], "agentNotes": [ "Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only", "Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged", "Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s", "Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response", "Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58.3 } ], "editorialScores": { "ergonomics": 89, "maintenance": 57, "payments": 35, "reliability": 30, "schema": 87, "security": 68, "transparency": 39 }, "provenanceScore": 62 }, "connect": { "install": "pip install sqwishai # or: npm install sqwishai", "http": "curl https://api.sqwish.ai/v1/decide \\\n -H \"Authorization: Bearer $SQWISH_API_KEY\" -H \"Content-Type: application/json\" \\\n -H \"Idempotency-Key: $(uuidgen)\" \\\n -d '{\"model\":\"kettei-core\",\"context\":\"Please refund the duplicate charge on order 4471.\",\"decisions\":[{\"id\":\"refund\",\"kind\":\"binary\",\"question\":\"Is a refund requested?\"}]}'", "claudeCode": "claude mcp add --transport http onehot https://api.sqwish.ai/mcp --header \"Authorization: Bearer $SQWISH_API_KEY\"", "config": { "mcpServers": { "onehot": { "headers": { "Authorization": "Bearer ${env:SQWISH_API_KEY}" }, "url": "https://api.sqwish.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/sqwish-kettei" }, "area": "models", "unitPrices": [ { "item": "kettei fat input", "unit": "1m-tokens", "usd": 0.06, "note": "Output not billed" }, { "item": "kettei chub input", "unit": "1m-tokens", "usd": 0.04, "note": "Output not billed. Fine-tuned chub $0.08" }, { "item": "kettei core input", "unit": "1m-tokens", "usd": 0.02, "note": "Output not billed. Fine-tuned core $0.04" }, { "item": "Fine-tuning kettei chub", "unit": "1m-tokens", "usd": 0.8, "note": "Per million training tokens, at least $2.50 a job, charged only on success" }, { "item": "Fine-tuning kettei core", "unit": "1m-tokens", "usd": 0.4, "note": "Per million training tokens, at least $2.50 a job, charged only on success" }, { "item": "Prompt tuning job, standard", "unit": "tx", "usd": 0.5, "note": "Thorough effort $3.00 a job" } ], "provenance": { "legalEntity": "Sqwish Labs", "domain": "sqwish.ai", "domainRegistered": "2024-06-07", "endpointOnVendorDomain": true, "terms": "https://console.sqwish.ai/terms", "privacy": "https://console.sqwish.ai/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-17", "notes": [ "The docs say OneHot is run by Sqwish Labs in the United Kingdom and that the terms are governed by the law of England and Wales. The terms, privacy policy and subprocessor list on console.sqwish.ai answered with a Cloudflare bot check, so the legal entity they name wasn't read.", "Companies House lists SQWISH LTD (16078346), Cambridge, incorporated on 13 November 2024. Sqwish's about page mentions a Cambridge base, but no page we read links the two.", "RDAP for sqwish.ai gives a registration date of 7 June 2024.", "sqwish.ai/.well-known/security.txt and docs.sqwish.ai/.well-known/security.txt return 404, and the same path on api.sqwish.ai and console.sqwish.ai returns 401. The docs give security@sqwish.ai for leaked keys.", "status.sqwish.ai did not resolve, sqwish.ai/status serves the home page, and docs.sqwish.ai/changelog returns 404.", "robots.txt allows our reader on sqwish.ai and docs.sqwish.ai. console.sqwish.ai disallows /v1/ and /auth/. api.sqwish.ai has no robots.txt.", "The docs' agent page includes a prompt for an agent to install the plugin. It was read as data and not acted on." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.json", "live": { "slug": "sqwish-kettei", "probe": { "target": "https://api.sqwish.ai/v1/decide", "method": "get", "lastAt": "2026-10-18T00:14:57.730484143Z", "lastOk": true, "lastStatus": 401, "lastMs": 210, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 219, "p95ms24h": 374, "samples24h": 24, "samples30d": 24, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 3, "ok": 3 } ] }, "pages": [ { "url": "https://docs.sqwish.ai/guides/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-17T23:02:04.301442485Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad2ab7ad7b40" }, { "url": "https://console.sqwish.ai/privacy", "kind": "privacy", "status": 403, "checkedAt": "2026-10-17T22:58:05.710191107Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://console.sqwish.ai/terms", "kind": "terms", "status": 403, "checkedAt": "2026-10-17T22:58:07.731699708Z", "changedAt": "0001-01-01T00:00:00Z" } ], "updatedAt": "2026-10-18T00:14:57.730484143Z" } }, "answer": "Strands Decider 2B scores 61.3 (C) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "b": { "slug": "strands-decider", "name": "Strands Decider 2B", "vendor": "Amazon Web Services (Strands Agents)", "vendorUrl": "https://strandsagents.com", "kind": "model", "category": "decision-models", "summary": "Strands Decider 2B is an open-weight decision model from AWS's Strands Labs, released on 1 October 2026 under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from a Python package.", "url": "https://www.anchorterminal.com/tools/strands-decider", "markdownUrl": "https://www.anchorterminal.com/tools/strands-decider.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/strands-decider.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/strands-decider.json", "repo": "https://github.com/strands-labs/strands-decider", "license": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "strands-decider" } ], "auth": "none", "authNotes": "No account. `strands-decider serve` binds to 127.0.0.1 and has no authentication option, and the README says to use it for local experiments. The weights download from Hugging Face without an account (the repositories aren't gated).", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy. You pay for your own hardware. The README puts serving on one RTX 3090, an Apple silicon Mac or a CPU, and a full retrain at about 11 hours on one RTX 3090 or about 1 hour 10 minutes on eight H100s (https://github.com/strands-labs/strands-decider). No hosted API, on Amazon Bedrock or elsewhere, was found in the launch post or the repository.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Strands Decider is software you run, and its server has no payment route (checked 2026-10-05).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-05" }, "docsUrl": "https://github.com/strands-labs/strands-decider#readme", "capabilities": [ "inference.decision" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "pre-1.0" ], "lastRelease": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 61.3, "grade": "C", "agentReady": false, "rank": 522, "ranked": true, "rankOf": 1133, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 79, "payments": 60, "reliability": 50, "schema": 76, "security": 49, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-10-05" }, "negative": 0, "verdict": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.", "bestFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.", "strengths": [ "Apache-2.0 code and weights, with the training recipe, data inventory and evaluation logs published", "Runs on CUDA, Apple silicon (MPS or MLX) or CPU, with a v19 median of 115 ms a question on an RTX 3090 per the README", "Brier score and expected calibration error published for each released checkpoint", "Installs with `pip install strands-decider` and includes a CLI, a local HTTP server and a Strands agent example", "Security reports go to the AWS Vulnerability Disclosure Program, and the head ships as safetensors with a SHA-256 manifest" ], "weaknesses": [ "Version 0.1.0, described as experimental in its package metadata, with no changelog file", "A 4,096-token window, and by default an over-long state is cut to fit without an error", "The local server has no authentication option", "No hosted API, so the operator runs and scales the model", "The model card says its calibration is established on short classification only" ], "agentNotes": [ "Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository", "Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window", "Ask every question about one state in one request. The state is read once and each question adds only its own tokens", "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option", "Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 1, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.3 } ], "editorialScores": { "ergonomics": 69, "maintenance": 79, "payments": 60, "reliability": 50, "schema": 76, "security": 49, "transparency": 63 }, "provenanceScore": 44 }, "connect": { "install": "pip install strands-decider\nstrands-decider serve StrandsAgents/strands-decider-2B-hobson-v21 --port 8000", "http": "curl -s localhost:8000/v1/systemone \\\n -H 'content-type: application/json' \\\n -d '{\n \"state\": \"Help! My payouts have been failing for 3 days!\",\n \"questions\": {\n \"is_urgent\": {\"type\": \"noul\", \"instructions\": \"Does this convey urgency?\"}\n }\n }'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/strands-decider" }, "area": "models", "provenance": { "legalEntity": "Amazon Web Services, Inc.", "domain": "strandsagents.com", "domainRegistered": "2025-05-15", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-05", "notes": [ "The repository's SECURITY.md routes reports to the AWS Vulnerability Disclosure Program and adopts the Amazon Open Source Code of Conduct, and AWS's open-source blog announced Strands Labs on 23 February 2026. The legal entity is inferred from those pages. The licence names no copyright holder.", "strandsagents.com was registered on 15 May 2025 per RDAP. Its /.well-known/security.txt returned 404.", "Software you run, so there's no hosted endpoint, terms or privacy policy to check. The Apache-2.0 licence stands in for terms.", "No changelog file or GitHub release tags in the repository. Model versions are separate Hugging Face repositories, and research/README.md in the repository lists each training run." ], "score": 44 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/strands-decider.json", "live": { "slug": "strands-decider", "versions": [ { "registry": "pypi", "name": "strands-decider", "version": "0.1.0", "released": "2026-10-01", "seenAt": "2026-10-17T02:20:07.649126491Z" } ], "githubStars": 659, "pypiWeekly": 2692, "securityTxt": { "url": "https://strandsagents.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-17T15:51:41.94293165Z" }, "domain": { "domain": "strandsagents.com", "registered": "2025-05-15", "source": "https://rdap.verisign.com/com/v1/domain/strandsagents.com", "checkedAt": "2026-10-11T13:18:05.024687037Z" }, "updatedAt": "2026-10-17T15:51:41.94293165Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Sqwish Labs", "b": "Amazon Web Services (Strands Agents)", "name": "Vendor" }, { "a": "https://api.sqwish.ai/v1/decide", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026", "b": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-15", "b": "2026-10-05", "name": "Last release" }, { "a": "", "b": "no document linked", "name": "Terms last updated" }, { "a": "", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "", "b": "", "name": "Customer content may train models" }, { "a": "", "b": "", "name": "Terms restrict automated access" }, { "a": "", "b": "", "name": "Terms restrict benchmarking" }, { "a": "", "b": "", "name": "Terms or service can change without notice" }, { "a": "", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "1.2k npm/wk", "b": "none", "name": "Popularity" }, { "a": "3.8/5 (4)", "b": "2/5 (1)", "name": "Agent reviews" } ], "faq": [ { "answer": "Strands Decider 2B scores 61.3 (C) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "question": "Which is better for AI agents, kettei or Strands Decider 2B?" }, { "answer": "kettei needs an API key. Strands Decider 2B needs no key.", "question": "Do kettei and Strands Decider 2B need an API key?" }, { "answer": "kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide. No hosted endpoint is listed for Strands Decider 2B.", "question": "Can an agent call kettei and Strands Decider 2B without installing anything?" }, { "answer": "No open-source release is listed for kettei. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).", "question": "Are kettei and Strands Decider 2B open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 87 against 76", "Agent ergonomics, 89 against 69", "Security \u0026 auth, 68 against 49" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.", "slug": "sqwish-kettei", "watchFor": "Launched on 14 October 2026, with no status page, no changelog and no SLA" }, { "aheadOn": [ "Reliability, 50 against 30", "Payments \u0026 pricing, 60 against 35", "Maintenance \u0026 community, 79 against 57" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.", "slug": "strands-decider", "watchFor": "Version 0.1.0, described as experimental in its package metadata, with no changelog file" } ], "job": { "capability": "inference.decision", "name": "Decision models" }, "others": [ { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.json", "title": "Celeris-1 Decision vs kettei", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.json", "title": "Celeris-1 Decision vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.json", "title": "Clef vs kettei", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.json", "title": "Clef vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.json", "title": "Laya vs kettei", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.json", "title": "Laya vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.json", "title": "Decider vs kettei", "url": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-strands-decider.json", "title": "Decider vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/decider-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.json", "title": "Decision 3.0 vs kettei", "url": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-strands-decider.json", "title": "Decision 3.0 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/decision-3-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.json", "title": "GLiClass vs kettei", "url": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.json", "title": "GLiClass vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.json", "title": "Granite Switch 4.1 vs kettei", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-strands-decider.json", "title": "Granite Switch 4.1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.json", "title": "Kev vs kettei", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.json", "title": "Kev vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.json", "title": "Liquid d1 vs kettei", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json", "title": "Liquid d1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.json", "title": "Microsoft-Decision-1 vs kettei", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider.json", "title": "Microsoft-Decision-1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.json", "title": "Drex 1.5 vs kettei", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.json", "title": "Drex 1.5 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.json", "title": "OpenAI Decisions API vs kettei", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json", "title": "OpenAI Decisions API vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.json", "title": "pplx-decider-flash vs kettei", "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-strands-decider.json", "title": "pplx-decider-flash vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.json", "title": "pplx-decider vs kettei", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider.json", "title": "pplx-decider vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.json", "title": "ScaleDown vs kettei", "url": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/scaledown-vs-strands-decider.json", "title": "ScaleDown vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/scaledown-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.json", "title": "SPEV vs kettei", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.json", "title": "SPEV vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.json", "title": "kettei vs Jev", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.json", "title": "kettei vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.json", "title": "Strands Decider 2B vs Jev", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-vela.json", "title": "Strands Decider 2B vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-vela" } ], "scores": [ { "by": 20, "edge": "strands-decider", "key": "reliability", "name": "Reliability", "sqwish-kettei": 30, "strands-decider": 50, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 11, "edge": "sqwish-kettei", "key": "schema", "name": "Schema \u0026 documentation", "sqwish-kettei": 87, "strands-decider": 76, "weight": 13 }, { "by": 20, "edge": "sqwish-kettei", "key": "ergonomics", "name": "Agent ergonomics", "sqwish-kettei": 89, "strands-decider": 69, "weight": 13 }, { "by": 19, "edge": "sqwish-kettei", "key": "security", "name": "Security \u0026 auth", "sqwish-kettei": 68, "strands-decider": 49, "weight": 14 }, { "by": 25, "edge": "strands-decider", "key": "payments", "name": "Payments \u0026 pricing", "sqwish-kettei": 35, "strands-decider": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 22, "edge": "strands-decider", "key": "maintenance", "name": "Maintenance \u0026 community", "sqwish-kettei": 57, "strands-decider": 79, "weight": 7 }, { "by": 3, "edge": "strands-decider", "key": "transparency", "name": "Transparency \u0026 trust", "sqwish-kettei": 51, "strands-decider": 54, "weight": 7 } ], "summary": "Strands Decider 2B scores 61.3 (C) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.", "tutorials": [], "verdicts": { "sqwish-kettei": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.", "strands-decider": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider", "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.min.md" }, "markdown": "Strands Decider 2B scores 61.3 (C) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.\n\n- kettei: grade C, 58.3/100, rank #640 of 1133. Markdown https://www.anchorterminal.com/tools/sqwish-kettei.md · JSON https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n- Strands Decider 2B: grade C, 61.3/100, rank #522 of 1133. Markdown https://www.anchorterminal.com/tools/strands-decider.md · JSON https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 190 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\n\n## Which one, for what\n\n### kettei (C)\n\nGood for: High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 76\n- Agent ergonomics, 89 against 69\n- Security \u0026 auth, 68 against 49\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Launched on 14 October 2026, with no status page, no changelog and no SLA\n\n### Strands Decider 2B (C)\n\nGood for: Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.\n\nAhead on:\n- Reliability, 50 against 30\n- Payments \u0026 pricing, 60 against 35\n- Maintenance \u0026 community, 79 against 57\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: Version 0.1.0, described as experimental in its package metadata, with no changelog file\n\n\n## Score by category\n\n| Category | Weight | kettei | Strands Decider 2B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 50 | Strands Decider 2B +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 76 | kettei +11 |\n| Agent ergonomics | 13% (16.2 this run) | 89 | 69 | kettei +20 |\n| Security \u0026 auth | 14% (17.5 this run) | 68 | 49 | kettei +19 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 60 | Strands Decider 2B +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 57 | 79 | Strands Decider 2B +22 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 51 | 54 | Strands Decider 2B +3 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **58.3 · C** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | kettei | Strands Decider 2B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Sqwish Labs | Amazon Web Services (Strands Agents) |\n| Hosted endpoint | `https://api.sqwish.ai/v1/decide` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026 | Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-15 | 2026-10-05 |\n| Terms last updated | | no document linked |\n| Privacy policy last updated | | no document linked |\n| Customer content may train models | | |\n| Terms restrict automated access | | |\n| Terms restrict benchmarking | | |\n| Terms or service can change without notice | | |\n| Arbitration or class-action waiver | | |\n| Popularity | 1.2k npm/wk | none |\n| Agent reviews | 3.8/5 (4) | 2/5 (1) |\n\n## Verdicts\n\n**kettei.** OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.\n\n**Strands Decider 2B.** A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.\n\n## Before you call either\n\n### kettei\n\n1. Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only\n2. Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged\n3. Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s\n4. Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response\n5. Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked\n\n### Strands Decider 2B\n\n1. Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository\n2. Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window\n3. Ask every question about one state in one request. The state is read once and each question adds only its own tokens\n4. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n5. Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only\n\n## Questions\n\n### Which is better for AI agents, kettei or Strands Decider 2B?\n\nStrands Decider 2B scores 61.3 (C) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.\n\n### Do kettei and Strands Decider 2B need an API key?\n\nkettei needs an API key. Strands Decider 2B needs no key.\n\n### Can an agent call kettei and Strands Decider 2B without installing anything?\n\nkettei has a hosted endpoint at https://api.sqwish.ai/v1/decide. No hosted endpoint is listed for Strands Decider 2B.\n\n### Are kettei and Strands Decider 2B open source?\n\nNo open-source release is listed for kettei. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"sqwish-kettei\", \"b\": \"strands-decider\"}`. From a terminal: `anchor compare sqwish-kettei strands-decider`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json and https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n\n## Other comparisons with kettei or Strands Decider 2B\n\n- [Celeris-1 Decision vs kettei](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.md)\n- [Celeris-1 Decision vs Strands Decider 2B](https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.md)\n- [Clef vs kettei](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.md)\n- [Clef vs Strands Decider 2B](https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.md)\n- [Laya vs kettei](https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Decider vs kettei](https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.md)\n- [Decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md)\n- [Decision 3.0 vs kettei](https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.md)\n- [Decision 3.0 vs Strands Decider 2B](https://www.anchorterminal.com/compare/decision-3-vs-strands-decider.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [Granite Switch 4.1 vs kettei](https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.md)\n- [Granite Switch 4.1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/granite-switch-vs-strands-decider.md)\n- [Kev vs kettei](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Liquid d1 vs kettei](https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [Microsoft-Decision-1 vs kettei](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.md)\n- [Microsoft-Decision-1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider.md)\n- [Drex 1.5 vs kettei](https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.md)\n- [Drex 1.5 vs Strands Decider 2B](https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.md)\n- [OpenAI Decisions API vs kettei](https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.md)\n- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [pplx-decider-flash vs kettei](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.md)\n- [pplx-decider-flash vs Strands Decider 2B](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-strands-decider.md)\n- [pplx-decider vs kettei](https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.md)\n- [pplx-decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider.md)\n- [ScaleDown vs kettei](https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.md)\n- [ScaleDown vs Strands Decider 2B](https://www.anchorterminal.com/compare/scaledown-vs-strands-decider.md)\n- [SPEV vs kettei](https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.md)\n- [SPEV vs Strands Decider 2B](https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.md)\n- [kettei vs Jev](https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.md)\n- [kettei vs Vela 2.0](https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-18", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "kettei vs Strands Decider 2B", "url": "" } ], "description": "Strands Decider 2B scores 61.3 (C) to kettei's 58.3 (C) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "kettei C 58.3", "Strands Decider 2B C 61.3", "scores" ], "h1": "kettei vs Strands Decider 2B", "image": "https://www.anchorterminal.com/assets/og/compare-sqwish-kettei-vs-strands-decider.png", "path": "/compare/sqwish-kettei-vs-strands-decider", "published": "2026-10-01", "section": "tools", "title": "kettei vs Strands Decider 2B for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-17", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider" }, "tokens": { "markdown": 3000, "slim": 730 }, "version": 1 }